Senior Manager, Product Data Science
Vancouver, Canada
Applications have closed
Binance.US
Binance.US is the crypto trading platform for US residents where you can buy, sell, and trade cryptocurrencies and alt coins with some of the lowest fees in the US. Start trading in minutes.As our Senior Manager, Product Data , you will be embedded into the Product organization, working with and supporting the different product teams on a day-to-day basis. The ideal candidate is a self-starter with a solid foundation in data science and experience in product data analytics. You are not only strong in execution and delivery, but also comfortable managing strategy, planning and a team.
#LI-Remote
Objectives and Expectations
- Build and execute an effective strategy and roadmap for the Product Data Team
- Develop and foster a rigorous data-driven culture within Product Analytics and across the broader Product community by being the Data Leader in the Product team
- Conduct and oversee research and deep dive data analysis to prioritize production efforts and growth opportunities; leverage insights to develop data-driven business cases to inform and influence product strategy & roadmap to maximize the product KPIs
- Define, measure and consistently track health, technical, growth and monetization metrics for the product
- Define and ensure the implementation of all the necessary tracking and AB testing for all the features and aspects of the product
- Collaborate with other teams like marketing and risk to ensure growth and success of the product
- Provide technical leadership to the rest of the Product Analytics team and drive execution to measure the effect of marketing efforts
- Design and build tools for the Product team that help in automating processes and facilitating smart decision making
- Conceptualize and prototype machine learning models to improve engagement and monetization KPIs
- Recruit, manage, and mentor a team of motivated Product data scientists/analysts.
Requirements
- 5+ years prior experience in Product and 5+ years in Data Science/Analytics
- 5+ years of experience at a tech company
- Fluency with SQL and expertise with R or Python
- Experience with designing and developing compelling data visualizations and dashboards
- Excellent product sense from growth point of view and deep knowledge of the product data science/analytics needsKnowledge in applied statistics (e.g. hypothesis testing, regressions, predictive modelling) and experimentation (e.g. A/B testing) in a tech product setting
- Excellent communication and presentation skills
- Ability to translate complex data into actionable insights for a non-technical audience
- Proactive and autonomous
- Experience with Machine Learning Analytics/Prototyping is a plus
- Good understanding of statistics is a plus
- Experience in recruiting data scientists/analysts is a plus.
Binance.US complies with Federal Transparency in Coverage regulations by providing this link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out-of-network allowed amounts between health plans and healthcare providers.Kaiser Permanentewww.aetna.com
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Crypto Data analysis Data Analytics Finance KPIs Machine Learning ML models Prototyping Python R Research SQL Statistics Testing
Perks/benefits: Career development Health care
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